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cs.IR2026
Uncertainty-Calibrated Recommendations for Low-Active Users
Bob Junyi Zou, Sai Li, Tianyun Sun +2
A fundamental challenge in recommender systems is balancing reliability for Low-Active Users (LAUs) with diversity for High-Active Users (HAUs). The key to this balance lies in qua…
cs.LG2026
GRIP2: A Robust and Powerful Deep Knockoff Method for Feature Selection
Bob Junyi Zou, Lu Tian
Identifying truly predictive covariates while strictly controlling false discoveries remains a fundamental challenge in nonlinear, highly correlated, and low signal-to-noise regime…